Senior Applied Data Scientist — Retail Insights & Impact

dunnhumby Ltd.; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private medical insurance

Pension scheme with employer matching

Flexible working hours

Job summary

dunnhumby Ltd. is seeking a Senior Applied Data Scientist in London to translate complex retail data into actionable insights and scalable ML solutions. You will work with retailers and brands, turning analytical capability into measurable business impact.

The role requires strong Python/SQL skills, experience in statistical modelling, and the ability to communicate complex concepts to non-technical stakeholders. Hybrid work is offered with flexible arrangements.

Qualifications

• Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.
• Strong programming skills - Python and SQL are essential; PySpark experience is highly advantageous.
• Proven experience in statistical modelling and applying data science solutions to real client problems.

Responsibilities

• Distil complex problems into meaningful, actionable insights for clients.
• Design, develop and deploy models, algorithms and insights for retailers and brands.
• Collaborate with client leadership to deliver measurable value and scalable, reusable solutions.

Skills

Python

SQL

PySpark

Statistical modelling

Machine learning

Communication skills

Education

Degree in Statistics/Mathematics/Physics/Economics

Tools

Git

Jupyter

Job description

dunnhumby Ltd. is seeking a Senior Applied Data Scientist in London to translate complex retail data into actionable insights and scalable ML solutions. You will work with retailers and brands, turning analytical capability into measurable business impact.

The role requires strong Python/SQL skills, experience in statistical modelling, and the ability to communicate complex concepts to non-technical stakeholders. Hybrid work is offered with flexible arrangements.